PPT-1 Generating Natural-Language Video Descriptions Using Text-Mined Knowledge

1 Generating NaturalLanguage Video Descriptions Using TextMined Knowledge Ray Mooney Department of Computer Science University of Texas at Austin Joint work with Niveda Krishnamoorthy Girish. Tamara Berg. NLP Overview. Many slides from: . Raymond J. Mooney, Dan Klein, . Claire . Cardie. & . Yejin. . Choi. Announcements. TA: Wei Liu. Office hours: TBD. Wei can help with topic understanding, or general . from Natural Language Descriptions Josiah Wang Katja Markert Mark Everingham School of Computing University of Leeds Presented at the 20 th British Machine Vision Conference (BMVC2009), Sept 2009. jo Ray Mooney. Department of Computer Science. University of Texas at Austin. Joint work with. Niveda. . Krishnamoorthy. . Girish. . Malkarmenkar. Tanvi. . Motwani. .. Kate . Saenko. using SIRA Technology. Chuck . Rehberg. CTO . at . Trigent. Software . and. Chief . Scientist at Semantic Insights. ™. The Big Mechanism Vision. Big Mechanisms are causal, explanatory models of complicated systems in which interactions have important causal effects. The collection of Big Data is increasingly automated, but the creation of Big Mechanisms remains a human endeavor made increasingly difficult by the fragmentation and distribution of knowledge. To the extent that we can . Hongning Wang. CS@UVa. What is NLP? . كلب هو مطاردة صبي في الملعب.. How can a computer make . sense. out of this . string. ? . Arabic text. - What are the basic units of meaning (words)?. 利 害 . li-hai. benefit-harm. standard selects social discourse . 道. . dao. guide. . Everyone's guiding rules, attitudes norms. Reform tradition--shocking results. . moral reform impasse. Partial solution: Rule out collectively self-defeating moralities. Class Logistics. Quiz. Where is this quote from?. Dave Bowman. : Open the pod bay doors, HAL.. HAL. : I’m sorry Dave. I’m afraid I can’t do that.. Quiz Answer. “2001: A Space Odyssey” . 1968 film by Stanley Kubrick . Enhancing Teaching and Learning. Diane . Litman. Professor. , . Computer Science . Department . Co-Director. , Intelligent Systems . Program. Senior Scientist, Learning Research & Development . Center. Enhancing Teaching and Learning. Diane . Litman. Senior Scientist, Learning Research & Development . Center. . Professor. , . Computer Science . Department . Director. , Intelligent Systems . Program. http://ell.stanford.edu. Lau v. Nichols (1974). . . . There . is no equality of treatment merely by providing students with the same facilities, textbooks, teachers and curriculum; for students who do not understand English are effectively foreclosed from any meaningful . Barbara Foorman, Ph.D., Professor & Director, Florida Center for Reading Research & the REL Southeast. This information is being provided as part of a webinar administered by the U.S. Department of Education, with support from the Institute of Education Sciences’ National Center for Education Research (NCER) and National Center for Education Evaluation and Regional Assistance (NCEE). . This is the first presentation in a series of 3 sponsored by the New York State Education Department Office of Bilingual Education and World Languages (OBEWL).. The goal is to support teachers in scaffolding English language Arts instruction for English language learners/Multilingual language learners (ELLs/MLLs). . 利 害 . li-hai. benefit-harm. standard selects social discourse . 道. . dao. guide. . Everyone's guiding rules, attitudes norms. Reform tradition--shocking results. . moral reform impasse. Partial solution: Rule out collectively self-defeating moralities. First Assignment. To be released over the weekend (due within the following week). 1. Today . What is Natural Language Processing?. Why is it hard? . Common Tasks in NLP. Language Modeling. Word and Sentence representations for ML.